LINGUIST List 18.81
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Thu Jan 11 2007
Calls: General Linguistics/France; Comp Ling, Discourse Analysis/USA
Editor for this issue: Dan Parker
<dan linguistlist.org>
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Directory
1. Sandrine
Rutigliano-Daspet,
Journée d'études doctorales de l'Université de Savoie
2. Xiaofei
Lu,
Computational Approaches to Figurative Language
Message 1: Journée d'études doctorales de l'Université de Savoie
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Date: 03-Jan-2007
From: Sandrine Rutigliano-Daspet <sandrine.rutiglianogmail.com>
Subject: Journée d'études doctorales de l'Université de Savoie
Full Title: Journée d'études doctorales de l'Université de Savoie
Date: 16-Apr-2007 - 18-Apr-2007
Location: Chambéry, France
Contact Person: Sandrine Rutigliano-Daspet
Meeting Email: sandrine.rutiglianogmail.com
Linguistic Field(s): General Linguistics
Call Deadline: 15-Jan-2007
Meeting Description:
Université de Savoie
Journée d'études doctorales du laboratoire LLS
La Repetition
Les 16, 17 et 18 avril 2007
Appel a Communication
Battologie, datisme, doublon, litanie, périssologie, pléonasme, psittacisme,
râbacherie, radotage, redite, rengaine, refrain, ressassement, routine,
tautologie, etc., tant de termes péjoratifs pour désigner l'une des figures de
style les plus courantes de la littérature : la répétition.
Décriée dès l'Antiquité avec Cicéron qui voyait en elle un fastidium
similitudinis, jusqu'aux condamnations de Vaugelas qui la jugeait - vicieuse -
et à son absence, presque une négation dans les dictionnaires de linguistique,
la répétition a été de tout temps traquée et rejetée.
Or, à l'origine, elle est d'abord l'objet d'une demande : repetitio en
latin signifie en effet - redemander -, - réclamer -. Elle peut être également à
l'origine d'un tout : au théâtre, la répétition a toujours lieu avant la -
première -.
Qu'elle soit formelle, sémantique, morphologique ou tout simplement
pathologique, jamais la séquence répétée ne reproduit finalement le même sens,
allant jusqu'à créer des - effets de connotation -1, voir posséder l'acte de
parole : - la répétition est la puissance du langage -.2
C'est parce qu'on la retrouve partout : dans le langage, la littérature,
les images mais aussi dans les actes ou les gestes, qu'aujourd'hui on
s'intéresse enfin à la répétition, mais bien qu'elle soit - indispensable à
l'oreille, la répétition pure continue d'être insupportable à l'esprit -.3
C'est donc sur cette place à la fois contestée et incontestable de la
répétition que nous proposons de réfléchir.
Les problématiques pourront s'envisager aussi bien dans les domaines de la
Psychologie, la Littérature, la Linguistique, la Sociologie ou de l'Histoire.
Les propositions (titre + résumé d'une dizaine de lignes), accompagnées
d'un court CV (nom, Université, statut) devront être renvoyés avant le 15
janvier 2007 à Alexandra-Flora Pifarré : apifauniv-savoie.fr et Sandrine
Rutigliano : Sandrine.Rutiglianogmail.com
Les propositions de communication seront présentées en français uniquement. Les
communications définitives les 16,17 et 18 avril pourront être en français ou en
anglais.
Message 2: Computational Approaches to Figurative Language
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Date: 02-Jan-2007
From: Xiaofei Lu <xxl13psu.edu>
Subject: Computational Approaches to Figurative Language
Full Title: Computational Approaches to Figurative Language
Date: 26-Apr-2007 - 26-Apr-2007
Location: Rochester, NY, USA
Contact Person: Xiaofei Lu
Meeting Email: xxl13psu.edu
Web Site:
http://chss3.montclair.edu/linguistics/lingpage/faculty/feldman/FigLang2007
Linguistic Field(s): Computational Linguistics; Discourse Analysis
Call Deadline: 18-Jan-2007
Meeting Description:
Figurative language, such as metaphor, metonymy, idioms, among others, is in
abundance in natural discourse. The recognition of figurative language use and
the computation of figurative language meaning constitute one of the hardest
problems for a variety of natural language processing tasks, such as machine
translation, text summarization, and question answering. As natural language
processing moves to an unprecedented new stage, it has become more urgent than
ever to tackle the bottleneck presented by figurative language.
This workshop will provide a venue for researchers in this area to inform each
other and the natural language processing community at large of the state of the
art of current systems and to reach a better understanding of the new issues and
challenges that need to be tackled. This workshop will be held in conjunction
with HLT/NAACL 2007.
Computational Approaches to Figurative Language
Workshop in conjunction with HLT/NAACL 2007
To be held in Rochester, NY, April 26, 2007
Submission deadline: January 18, 2007
Figurative language, such as metaphor, metonymy, idioms, personification, simile
among others, is in abundance in natural discourse. It is an effective apparatus
to heighten effect and convey various meanings, such as humor, irony, sarcasm,
affection, etc. Figurative language can be found not only in fiction, but also
in everyday speech, newspaper articles, research papers, and even technical
reports. The recognition of figurative language use and the computation of
figurative language meaning constitute one of the hardest problems for a variety
of natural language processing tasks, such as machine translation, text
summarization, information retrieval, and question answering. Resolution of this
problem involves both a solid understanding of the distinction between literal
and non-literal language and the development of effective computational models
that can make the appropriate semantic interpretation automatically.
As natural language processing moves to an unprecedented new stage, it has
become more urgent than ever to tackle the bottleneck presented by figurative
language. There has been an increasing amount of work in this area in the past
few years (e.g. theoretical semantic/pragmatic analyses of non-compositional
phenomena, research on psychological/neuro-linguistic modeling of figurative
language comprehension and production, research on the structure of the lexicon,
knowledge representation and figurative language comprehension, domain-specific
figurative language detection, computational corpus studies of figurative
language), but much more work needs to be done (e.g. large-scale automatic
figurative language detection, automatic extraction of idioms and
non-compositional phrases from large corpora, automatic semantic interpretation
of figurative language, automatic figurative language generation, machine
translation of non-literal phenomena, etc.). The goal of this workshop is to
provide a venue for researchers in this area to inform each other and the
natural language processing community at large of the state of the art of
current systems and to reach a better understanding of the new issues and
challenges that need to be tackled.
The workshop is intended to be highly interdisciplinary. We encourage the
participation of people whose research deals with figurative language from
different perspectives, including (but not limited to) applied linguistics,
psychology, corpus linguistics, human-computer interaction, natural language
processing, etc.
Topics covered by the workshop include, but are not limited to:
(1) Computational models of figurative language processing, including
- extracting idioms and non-compositional phrases from large corpora
- classifying metaphoric/non-metaphoric and humorous/non-humorous language use
- computing non-literal meaning
- multilingual or cross-lingual processing of figurative language
- computational modeling of human figurative language comprehension and
production
(2) Psychological models of figurative language processing, including
- figurative language comprehension
- figurative language production
- figurative language acquisition
(3) Corpus-driven studies of figurative language, including
- corpus-based studies of figurative aspects of any language
- corpus-based studies of specific linguistic cues for figurative language
- effects of domain and genre on studies of figurative language
- annotation of non-literal phenomena in corpora
(4) Theoretical discussions on literal and non-literal language, including
discussions on
- the distinction between literal and non-literal language
- the distinction between different types of figurative language
- cross-linguistic differences of figurative language
(5) Lexical and ontological resources for figurative language processing, including
- representation of non-literal meaning in lexicons and ontologies
- development of new lexical resources for figurative language processing
(6) Evaluation of figurative language processing in large-scale NLP systems,
such as machine translation, Computer-assisted Language Learning (CALL),
question answering, dialogue systems, etc.
The emphasis of the workshop is on computational approaches to figurative
language. We particularly are interested in submissions that deal with
figurative language in the context of Machine Translation, Word Sense
Disambiguation, Information Extraction, Document Retrieval, Dialogue Systems,
Intelligent Tutoring systems, etc.
Workshop Home Page:
http://www.purl.org/net/fa/FigLang2007/
Paper Submission:
Submissions should describe original, unpublished work. Papers are limited to 8
pages. Submissions should use the style files available at
http://www.cs.rochester.edu/meetings/hlt-naacl07/styles/
No author information should be included in the papers since reviewing will
be blind. Papers not conforming to these requirements are subject to rejection
without review. Papers should be submitted via START which is available here:
http://www.softconf.com/hlt/wsfigurative/submit.html
Important Dates:
Paper submission deadline: January 18, 2007
Notification of acceptance for papers: February 22, 2007
Camera ready papers due: March 1, 2007
Workshop Date: April 26, 2007
Organizers:
Xiaofei Lu, Penn State University, xxl13 AT psu.edu
Anna Feldman, Montclair State University, feldmana AT mail.montclair.edu
Program Committee:
Chris Brew, The Ohio State University
Afsaneh Fazly, University of Toronto, Canada
Eileen Fitzpatrick, Montclair State University
Sam Glucksberg, Princeton University
Sid Horton, Northwestern University
Diana Inkpen, University of Ottawa, Canada
Kevin Knight, USC/Information Sciences Institute
Mark Lee, The University of Birmingham, UK
Katja Markert,University of Leeds, UK
Detmar Meurers, The Ohio State University
Rada Mihalcea, University of North Texas
Andrew Ortony, Northwestern University
Wim Peters, University of Sheffield, UK
Vasile Rus, The University of Memphis
Richard Sproat, University of Illinois at Urbana-Champain
Suzanne Stevenson, University of Toronto, Canada
Carlo Strapparava, Istituto per la Ricerca Scientifica e Tecnologica, Trento, Italy
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